Ismail, Suzilah and Zulkifli, Malina and Mansor, Rosnalini and Mat Yusof, Muhammad and Ismail, M. I (2016) The role of exploratory data analysis (EDA) in electricity forecasting. Pertanika Journal of Social Sciences & Humanities, 24S. pp. 93-100. ISSN 0128-7702

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Abstract

Exploratory Data Analysis (EDA) is an approach introduced by Tukey.The aim is to obtain an in depth understanding of data using graphics.This contradicts the classical approach which uses statistical summaries such as mean and standard deviation among others.Skipping EDA in investigating data can jeopardise the validity and reliability of the results.In this study, we highlight the crucial role of EDA in electricity forecasting via line chart to understand the existence of the four-time series components i.e. trend, seasonal,irregular and cyclical.Daily electricity load for financial year 2002 to 2006 are used.The EDA showed irregular patterns identified in the line chart are not irregular components but moving seasonal components which require different techniques of forecasting.

Item Type:	Article
Uncontrolled Keywords:	Graphical, classical approach, time series components, line chart, moving seasonal
Subjects:	Q Science > QA Mathematics
Divisions:	School of Quantitative Sciences
Depositing User:	Dr. Suzilah Ismail
Date Deposited:	06 Apr 2017 04:29
Last Modified:	06 Apr 2017 04:29
URI:	https://repo.uum.edu.my/id/eprint/21531

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